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A data mining analysis of College English Test (CET) results of Haojing College, China

The data mining technology is one of the hot issues of information technology research. Data mining has already used in many fields, such as bank, finance, insurance, and retail. But unfortunately, data mining technology is seldom used in the field of education. With the continuous enrollment of Chi...

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Main Author: Chen, Dong
Format: Thesis
Language:English
Published: 2013
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/35832/5/ChenDongMFSKSM2013.pdf
http://eprints.utm.my/id/eprint/35832/
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spelling my.utm.358322017-07-13T03:25:51Z http://eprints.utm.my/id/eprint/35832/ A data mining analysis of College English Test (CET) results of Haojing College, China Chen, Dong QA Mathematics The data mining technology is one of the hot issues of information technology research. Data mining has already used in many fields, such as bank, finance, insurance, and retail. But unfortunately, data mining technology is seldom used in the field of education. With the continuous enrollment of Chinese universities, more and more students go into university to study. Meanwhile, a mass of data were produced which about the students? basic information and their subject mark. There are still some deeply relationship among subject mark under cover. Using data mining technology into analysis of students? mark can find the real factors which affect their subject and then improve the teaching quality. In this paper, the theoretical knowledge of data mining was studied. Research and Application of data mining technology in student CET mark analysis is based on data mining technology research. Before the excavation, the paper established students? achievement analysis of data, and data cleaning, data conversion, data reduction, data preprocessing, processing vacancy data, the continuous-valued attribute discretization, to lay the foundation for further excavation. After comparison of various algorithms in data mining, association rules algorithm was chosen, which is suitable for student achievement analysis model Apriori algorithm to conduct students? CET mark analysis. In the final realization of the process, the relationship between CET mark and employment salary were found and also found the main factors which affect the CET mark. These finding are very useful which can improve the teaching quality. 2013-06 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/35832/5/ChenDongMFSKSM2013.pdf Chen, Dong (2013) A data mining analysis of College English Test (CET) results of Haojing College, China. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computing. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:70722?site_name=Restricted Repository
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Chen, Dong
A data mining analysis of College English Test (CET) results of Haojing College, China
description The data mining technology is one of the hot issues of information technology research. Data mining has already used in many fields, such as bank, finance, insurance, and retail. But unfortunately, data mining technology is seldom used in the field of education. With the continuous enrollment of Chinese universities, more and more students go into university to study. Meanwhile, a mass of data were produced which about the students? basic information and their subject mark. There are still some deeply relationship among subject mark under cover. Using data mining technology into analysis of students? mark can find the real factors which affect their subject and then improve the teaching quality. In this paper, the theoretical knowledge of data mining was studied. Research and Application of data mining technology in student CET mark analysis is based on data mining technology research. Before the excavation, the paper established students? achievement analysis of data, and data cleaning, data conversion, data reduction, data preprocessing, processing vacancy data, the continuous-valued attribute discretization, to lay the foundation for further excavation. After comparison of various algorithms in data mining, association rules algorithm was chosen, which is suitable for student achievement analysis model Apriori algorithm to conduct students? CET mark analysis. In the final realization of the process, the relationship between CET mark and employment salary were found and also found the main factors which affect the CET mark. These finding are very useful which can improve the teaching quality.
format Thesis
author Chen, Dong
author_facet Chen, Dong
author_sort Chen, Dong
title A data mining analysis of College English Test (CET) results of Haojing College, China
title_short A data mining analysis of College English Test (CET) results of Haojing College, China
title_full A data mining analysis of College English Test (CET) results of Haojing College, China
title_fullStr A data mining analysis of College English Test (CET) results of Haojing College, China
title_full_unstemmed A data mining analysis of College English Test (CET) results of Haojing College, China
title_sort data mining analysis of college english test (cet) results of haojing college, china
publishDate 2013
url http://eprints.utm.my/id/eprint/35832/5/ChenDongMFSKSM2013.pdf
http://eprints.utm.my/id/eprint/35832/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:70722?site_name=Restricted Repository
_version_ 1643649853714071552
score 13.211869

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